Staff AI Engineer

raydar; United States; Remote; USD 250,000 - 300,000; Full time

Benefits offered by this job

Equity

Remote work (US)

Job summary

Raydar is seeking a Staff Engineer+ to lead production AI capabilities for a consumer wellness product. You will own features end-to-end from prototype through release in a fast-moving startup environment, partnering with product, design, mobile, and server teams. This role is remote within US time zones.

You will ship LLM-powered agents, design prompts, orchestrate tool calls, ensure safety and quality, and continuously refine performance in production.

Qualifications

• Track record at Staff Engineer level or higher.
• Hands-on experience operating large language models in live products.
• Familiarity with frameworks for orchestrating AI agents.
• Proven history of shipping and running Python services in production.
• Time spent in a fast-moving startup, or as a founder.
• High energy and a strong drive to take action.
• Comfort with candid, real-time feedback in both directions.
• Ability to work remotely during US time zones.

Responsibilities

• Build and ship LLM-powered agents that call external tools, return structured results and stream responses to users.
• Develop AI-driven features that deliver personalized guidance, with a person always reviewing the output.
• Own each capability end to end: prototype, assess it against quality and safety standards, release it, watch its behavior in production and keep improving it.
• Raise reliability and speed while lowering cost through caching, token management, retry handling and monitoring.
• Create the integrations and supporting utilities that agents depend on, with validated inputs and outputs.
• Work side by side with product, design, mobile and server-side colleagues.

Skills

Staff Engineer level

LLM live-prod experience

Prompt design

Tool usage for AI agents

Quality assessment

Startup/founding experience

Fast-paced execution

Remote work within US time zones

Tools

Python

Async programming

Web APIs

Job description

About the company

Our client is a wellness and fitness company.

The role

Raydar is recruiting for this role on behalf of our client. Lead the design and delivery of production AI capabilities for a consumer product, owning each feature from first prototype through release and continued refinement. The role suits a self-directed engineer who thrives in a rapidly changing, early-stage setting and partners with cross-functional colleagues.

What you'll do

• Build and ship LLM-powered agents that call external tools, return structured results and stream responses to users.

• Develop AI-driven features that deliver personalized guidance, with a person always reviewing the output.

• Own each capability end to end: prototype, assess it against quality and safety standards, release it, watch its behavior in production and keep improving it.

• Raise reliability and speed while lowering cost through caching, token management, retry handling and monitoring.

• Create the integrations and supporting utilities that agents depend on, with validated inputs and outputs.

• Work side by side with product, design, mobile and server-side colleagues.

Requirements

What we're looking for

• Track record at Staff Engineer level or higher.

• Hands-on experience operating large language models in live products, including prompt design, tool use, formatted outputs and quality assessment.

• Familiarity with frameworks for orchestrating AI agents.

• Proven history of shipping and running Python services in production.

• Time spent in a fast-moving startup, or as a founder, including ventures that did not succeed.

• High energy and a strong drive to take action.

• Comfort with candid, real-time feedback in both directions.

• Ability to work remotely during US time zones.

Bonus points

• Prior experience at a large technology company or a late-stage startup before joining smaller companies.

• Working knowledge of asynchronous programming and real-time data delivery over web APIs.

• Background in health technology.

• Based in San Francisco, CA.

Benefits

Compensation and benefits

• Base salary: USD 250,000 to 300,000 per year

• Equity

Location and work model

• Remote (US)

• Full-time